MU:MU24007 Stochastic Processes - Course Information
MU24007 Stochastic Processes
Mathematical Institute in OpavaWinter 2024
The course is not taught in Winter 2024
- Extent and Intensity
- 2/1/0. 5 credit(s). Type of Completion: zk (examination).
- Teacher(s)
- doc. RNDr. Michaela Mlíchová, Ph.D. (lecturer)
RNDr. Lenka Rucká, Ph.D. (seminar tutor) - Guaranteed by
- doc. RNDr. Michaela Mlíchová, Ph.D.
Mathematical Institute in Opava - Prerequisites (in Czech)
- TYP_STUDIA(N)
- Course Enrolment Limitations
- The course is also offered to the students of the fields other than those the course is directly associated with.
- fields of study / plans the course is directly associated with
- Applied Mathematics (programme MU, N1101)
- Mathematical Modelling (programme MU, NMgr-M)
- Course objectives
- The main goal of the course is to introduce students to the basic methods in the analysis of stochastic processes, used in mathematical models in the theory of finance. The main focus is on random walks and Wiener processes. Students successfully completing the course will be able to use these processes in mathematical modelling and techniques in their analysis.
- Syllabus
- Random walk
Reflection principle
Markovian property
Polya theorem
Arcsin laws
Discrete martingales
Filtrations
Martingale transformations
Wiener process
Cieselski's construction of Brownian motion
Continuous martingales and filtrations
- Random walk
- Literature
- required literature
- G. R. Grimmett, D. Stirzaker. Probability and random processes. Oxford University Press, 2001. ISBN 0-19-857222-0. info
- recommended literature
- J. M. Steele. Stochastic Calculus and Financial Applications. Springer-Verlag, 2003. ISBN 0387950168. info
- Language of instruction
- Czech
- Further comments (probably available only in Czech)
- The course can also be completed outside the examination period.
- Teacher's information
- Obtaining the credit and passing the final oral exam.
Activity Difficulty [h] Cvičení 13 Přednáška 26 Summary 39
- Enrolment Statistics (Winter 2024, recent)
- Permalink: https://is.slu.cz/course/sumu/winter2024/MU24007